{"title":"贝叶斯邮件过滤在垃圾邮件检测中的应用","authors":"M. V. Volkov","doi":"10.31673/2409-7292.2022.034854","DOIUrl":null,"url":null,"abstract":"A study of the impact of spam messages and modern threats on the process of e-mail exchange in the corporate information system was conducted. The role of spam and its influence in corporate information systems has been studied. Peculiarities of countermeasures and technologies for e-mail protection against spam have been studied. On the basis of the research carried out in the work, a Bayesian classifier was developed for filtering e-mails of postal exchange in the corporate information system.","PeriodicalId":107068,"journal":{"name":"Modern information security","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Bayesian e-mail filtering to detect spam\",\"authors\":\"M. V. Volkov\",\"doi\":\"10.31673/2409-7292.2022.034854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A study of the impact of spam messages and modern threats on the process of e-mail exchange in the corporate information system was conducted. The role of spam and its influence in corporate information systems has been studied. Peculiarities of countermeasures and technologies for e-mail protection against spam have been studied. On the basis of the research carried out in the work, a Bayesian classifier was developed for filtering e-mails of postal exchange in the corporate information system.\",\"PeriodicalId\":107068,\"journal\":{\"name\":\"Modern information security\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Modern information security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31673/2409-7292.2022.034854\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modern information security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31673/2409-7292.2022.034854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Bayesian e-mail filtering to detect spam
A study of the impact of spam messages and modern threats on the process of e-mail exchange in the corporate information system was conducted. The role of spam and its influence in corporate information systems has been studied. Peculiarities of countermeasures and technologies for e-mail protection against spam have been studied. On the basis of the research carried out in the work, a Bayesian classifier was developed for filtering e-mails of postal exchange in the corporate information system.
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